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Search All Research Studies
Topics
- Adverse Drug Events (ADE) (1)
- Adverse Events (1)
- Clinical Decision Support (CDS) (1)
- Data (1)
- Electronic Health Records (EHRs) (1)
- Emergency Department (2)
- (-) Healthcare Cost and Utilization Project (HCUP) (5)
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- Health Information Exchange (HIE) (1)
- (-) Health Information Technology (HIT) (5)
- Health Services Research (HSR) (1)
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- Medication (1)
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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 5 of 5 Research Studies DisplayedBoggs KM, Teferi MM, Espinola JA
Consolidating emergency department-specific data to enable linkage with large administrative datasets.
This paper looks at the challenges and opportunities presented by consolidating hospital-level data with patient-level data to create better analyses of hospital-based specialties, units, or departments, and patient outcomes. The American Hospital Association (AHA) has hospital-level data, while the Centers for Medicare & Medicaid Services (CMS) has patient-level data which can be used to study emergency departments (EDs). A distinct database discussed in this paper is the Nationwide Emergency Department Inventory (NEDI). However, the NEDI database lists EDs individually while the AHA and CMS databases list EDs individually or by group if they are part of a larger network. A test set using EDs from New England was conducted using individually matched NEDI EDs with corresponding EDs in the AHA and CMS. A “group match” was assigned when more than one NEDI ED was matched to a single AHA or CMS facility ID number. Of the 195 EDs in the test set, 169 (87%) completed the NEDI survey. Of those, 77% EDs were individually listed in AHA and CMS while 39 were part of groups consisting of 2-3 EDs with one facility ID. The grouped EDs had a larger number of annual visits and beds, were more likely to be freestanding and were less likely to be rural. The consolidated dataset with 171 EDS yielded similar results to the 169 responding EDs which provides a more representative sample for studies.
AHRQ-funded; HS024561.
Citation: Boggs KM, Teferi MM, Espinola JA .
Consolidating emergency department-specific data to enable linkage with large administrative datasets.
West J Emerg Med 2020 Oct 27;21(6):141-45. doi: 10.5811/westjem.2020.8.48305..
Keywords: Healthcare Cost and Utilization Project (HCUP), Emergency Department, Hospitals, Health Information Technology (HIT)
Polubriaginof FCG, Ryan P, Salmasian H
Challenges with quality of race and ethnicity data in observational databases.
This study assessed the quality of race and ethnicity information in observational health databases as well as electronic health records (EHRs) and to propose patient self-recording as a way to improve accuracy. Data from the Healthcare Cost and Utilization Project (HCUP) and Optum Labs, and from a single New York City healthcare system’s EHR was compared. Among 160 million patients in the HCUP database, no race or ethnicity data was recorded for 25% of the records. Among the 2.4 million patients in the New York City HER, race or ethnicity was unknown for 57%. However, when patients were allowed to directly record their race and ethnicity, percentages rose to 86%.
AHRQ-funded; HS021816; HS023704; HS024713.
Citation: Polubriaginof FCG, Ryan P, Salmasian H .
Challenges with quality of race and ethnicity data in observational databases.
J Am Med Inform Assoc 2019 Aug;26(8-9):730-36. doi: 10.1093/jamia/ocz113..
Keywords: Healthcare Cost and Utilization Project (HCUP), Data, Racial and Ethnic Minorities, Electronic Health Records (EHRs), Health Information Technology (HIT), Health Services Research (HSR)
Ayer T, Ayvaci MUS, Karaca Z
AHRQ Author: Karaca Z
Production and Operations Management 2019 Mar 2019;28(3):740–58.
Health information exchanges (HIEs) are expected to improve poor information coordination in emergency departments (EDs); however, whether and when HIEs are associated with better operational outcomes remains poorly understood. In this paper, the authors study HIE and length of stay (LOS) relationship using a large dataset from the Healthcare Cost and Utilization Project consisting of about 7.4 million treat‐and‐release visits made to 63 EDs in Massachusetts.
AHRQ-authored.
Citation: Ayer T, Ayvaci MUS, Karaca Z .
Production and Operations Management 2019 Mar 2019;28(3):740–58.
Production and Operations Management 2019 Mar;28(3):740–58..
Keywords: Emergency Department, Healthcare Cost and Utilization Project (HCUP), Health Information Exchange (HIE), Health Information Technology (HIT)
Slight SP, Seger DL, Franz C
The national cost of adverse drug events resulting from inappropriate medication-related alert overrides in the United States.
Investigators worked to determine the national cost of adverse drug events (ADEs) in the United States in 2014. They used three different regression models. They used a random sample of 40,990 adult inpatients at the Brigham and Women’s Hospital in Boston with over 1.6 million medication orders. They extrapolated the medication orders using 2014 National Inpatient Sample (NIS) data. They estimated that out of 78.8 million total medication alerts, 5.5 million medication alerts would have been inappropriately overridden resulting in 196,660 ADEs. They estimated it would have cost between $871 million and $1.8 billion for treating these preventable ADEs in the United States.
AHRQ-funded; HS021094.
Citation: Slight SP, Seger DL, Franz C .
The national cost of adverse drug events resulting from inappropriate medication-related alert overrides in the United States.
J Am Med Inform Assoc 2018 Sep;25(9):1183-88. doi: 10.1093/jamia/ocy066..
Keywords: Healthcare Cost and Utilization Project (HCUP), Adverse Drug Events (ADE), Adverse Events, Clinical Decision Support (CDS), Health Information Technology (HIT), Healthcare Costs, Medical Errors, Medication
Paez K, Roper RA, Andrews RM
AHRQ Author: Roper RA, Andrews RM
Health information technology and hospital patient safety: a conceptual model to guide research.
The authors developed a conceptual model to guide research in sorting out the complex relationships between health information technology (HIT) and the quality and safety of care. They found the model difficult to operationalize because available HIT adoption data did not characterize features and extent of usage, and patient safety measures did not elucidate the process failures leading to safety-related outcomes. Their findings illustrated the critical need for collecting data that are germane to HIT and the possible mechanisms by which HIT may affect inpatient safety.
AHRQ-authored; AHRQ-funded.
Citation: Paez K, Roper RA, Andrews RM .
Health information technology and hospital patient safety: a conceptual model to guide research.
Jt Comm J Qual Patient Saf 2013 Sep;39(9):415-25.
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Keywords: Healthcare Cost and Utilization Project (HCUP), Health Information Technology (HIT), Hospitals, Quality of Care, Patient Safety